Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
A targeted TikTok crawling product based on a hundreds of seed hashtags with connections to harmful content. Data field crawled include user profiles and posts, and comments.
Detect emotion within content, such as fear, happiness, sadness, disgust, etc. It is able to process content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
How Datastreamer works
Quickly enrich Open Measures TikTok with Datastreamer Emotion Detection Classifier with a Datstreamer Pipeline.
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.
Add Datastreamer components to your data stack and explore its full capabilities
